Learning distance metric for regression by semidefinite programming with application to human age estimation
暂无分享,去创建一个
Hongyuan Zha | Xiaokang Yang | Bo Xiao | Yi Xu | Xiaokang Yang | H. Zha | Yi Xu | Bo Xiao
[1] Michael I. Jordan,et al. Regression on manifolds using kernel dimension reduction , 2007, ICML '07.
[2] Jos F. Sturm,et al. A Matlab toolbox for optimization over symmetric cones , 1999 .
[3] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[4] Gene H. Golub,et al. Matrix computations , 1983 .
[5] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[6] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[7] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[8] Wojciech Matusik,et al. A data-driven reflectance model , 2003, ACM Trans. Graph..
[9] Zhi-Hua Zhou,et al. Facial age estimation by nonlinear aging pattern subspace , 2008, ACM Multimedia.
[10] Wei-Ying Ma,et al. Learning an image manifold for retrieval , 2004, MULTIMEDIA '04.
[11] Yann LeCun,et al. Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[12] Jiawei Han,et al. Orthogonal Laplacianfaces for Face Recognition , 2006, IEEE Transactions on Image Processing.
[13] Timothy F. Cootes,et al. Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Ian T. Jolliffe,et al. Principal Component Analysis , 2002, International Encyclopedia of Statistical Science.
[15] Trevor F. Cox,et al. Metric multidimensional scaling , 2000 .
[16] H. Zha,et al. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment , 2004, SIAM J. Sci. Comput..
[17] David L. Donoho,et al. When does geodesic distance recover the true hidden parametrization of families of articulated images? , 2002, The European Symposium on Artificial Neural Networks.
[18] Misha Pavel,et al. Adjustment Learning and Relevant Component Analysis , 2002, ECCV.
[19] Jie Yang,et al. Modified Kernel Functions by Geodesic Distance , 2004, EURASIP J. Adv. Signal Process..
[20] Kilian Q. Weinberger,et al. Unsupervised Learning of Image Manifolds by Semidefinite Programming , 2004, CVPR.
[21] Jingrui He,et al. Manifold-ranking based image retrieval , 2004, MULTIMEDIA '04.
[22] B. Borchers. CSDP, A C library for semidefinite programming , 1999 .
[23] Yuxiao Hu,et al. Learning a locality preserving subspace for visual recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[24] Yan Zhang,et al. On the Euclidean distance of images , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Geoffrey E. Hinton,et al. Neighbourhood Components Analysis , 2004, NIPS.
[26] Shuicheng Yan,et al. Learning Auto-Structured Regressor from Uncertain Nonnegative Labels , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[27] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[28] Yoram Singer,et al. Online and batch learning of pseudo-metrics , 2004, ICML.
[29] Shuicheng Yan,et al. Ranking with Uncertain Labels , 2007, 2007 IEEE International Conference on Multimedia and Expo.
[30] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[31] Yun Fu,et al. Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression , 2008, IEEE Transactions on Image Processing.
[32] Masashi Sugiyama,et al. Geodesic Gaussian kernels for value function approximation , 2008, Auton. Robots.
[33] Yu Zhang,et al. Learning from facial aging patterns for automatic age estimation , 2006, MM '06.
[34] Thomas S. Huang,et al. Optimizing learning in image retrieval , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[35] C. Christodoulou,et al. Comparing different classifiers for automatic age estimation , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[36] Sethuraman Panchanathan,et al. Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.